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Computer Vision Postdoc Jobs in Santa Clara, CA (NOW HIRING)

Scout AI

Senior AI Researcher

Sunnyvale, CA · On-site +1

$200K - $400K/yr

You will lead research in core areas including reinforcement learning, vision-language-action ... PhD in Computer Science, Robotics, Machine Learning, or a related field plus 4+ years of applied ...

Exponent Inc.

Electrical Engineer (Ph.D.)

Menlo Park, CA · On-site

$140K - $154K/yr

Our vision is to engage multidisciplinary teams of science, engineering, and regulatory experts to ... Computer Science Practice in Menlo Park, CA . In this role, you will work as part of a team to help ...

Exponent Inc.

Electrical Engineer (Ph.D.)

Menlo Park, CA · On-site

$140 - $154/hr

Our vision is to engage multidisciplinary teams of science, engineering, and regulatory experts to ... Computer Science Practice in Menlo Park, CA . In this role, you will work as part of a team to help ...

Exponent Inc.

Electrical Engineer (Ph.D.)

Menlo Park, CA · On-site

Our vision is to engage multidisciplinary teams of science, engineering, and regulatory experts to ... Computer Science Practice in Menlo Park, CA . In this role, you will work as part of a team to help ...

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All JobsComputer Vision Postdoc JobsComputer Vision Postdoc Jobs in Santa Clara, CA

Computer Vision Postdoc information

See Santa Clara, CA salary details

$29K

$133K

$228.8K

How much do computer vision postdoc jobs pay per year?

As of Sep 4, 2026, the average yearly pay for computer vision postdoc in Santa Clara, CA is $132,993.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,531.00 and $181,666.00 per year, depending on experience, location, and employer.

What is a computer vision postdoc?

A Computer Vision Postdoc is a research-focused position typically held after completing a Ph.D. in computer vision, machine learning, or a related field. The role involves conducting advanced research, developing algorithms, publishing papers, and collaborating with academic or industry partners. Responsibilities may include working on deep learning models, image processing techniques, and real-world applications like autonomous driving or medical imaging. This position is usually temporary, lasting one to three years, and serves as a stepping stone to academic or industry research roles.

What are typical research activities and collaborations for a computer vision postdoc?

As a Computer Vision Postdoc, your day-to-day work often involves designing and running experiments, developing new algorithms, and publishing research findings in academic journals or at conferences. You will closely collaborate with a multidisciplinary team of faculty members, graduate students, and sometimes industry partners to solve complex visual perception problems. Many postdocs also mentor junior researchers and may participate in grant writing or lab meetings. This collaborative environment provides valuable opportunities for expanding your professional network and honing your research leadership skills.

What are the key skills and qualifications needed to thrive in a computer vision postdoc position?

A Computer Vision Postdoc typically requires a PhD in computer science, electrical engineering, or a related field, with strong expertise in machine learning, image processing, and algorithm development. Familiarity with programming languages such as Python or C++, and experience using frameworks like TensorFlow, PyTorch, or OpenCV is often essential. Strong analytical thinking, effective communication, and project management skills help distinguish successful candidates. Mastery of these skills enables impactful research, effective collaboration, and the ability to translate complex concepts into practical results.

What are popular job titles related to Computer Vision Postdoc jobs in Santa Clara, CA?

For Computer Vision Postdoc jobs in Santa Clara, CA, the most frequently searched job titles are:

What job categories do people searching Computer Vision Postdoc jobs in Santa Clara, CA look for?

The top searched job categories for Computer Vision Postdoc jobs in Santa Clara, CA are:

Computer Vision Postdoc jobs near you
Infographic showing various Computer Vision Postdoc job openings in Santa Clara, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $132,993 per year, or $63.9 per hour.

Research Scientist, Applied Science

GenBio AI

Palo Alto, CA • On-site, Remote

$200K - $270K/yr

Full-time

Re-posted 12 days ago

Job description

GenBio AI develops multiscale foundation models to decode and simulate human biology. Our team is accelerating towards an ambitious future where scientists can unlock humanity's biggest challenges in drug discovery, healthcare, and fundamental research with AIDO (AI-Driven Digital Organism): a unified framework for predicting, simulating, and programming biology across all scales. The foundation of this vision begins today as we engineer the virtual cell to model and simulate the fundamental unit of life.

This vision has brought together a talent-dense group of product-minded researchers and engineers dedicated to bringing it to reality. Our team prides itself on our strong engineering culture and highly interdisciplinary and collaborative approach. We are based in Palo Alto, with satellite offices in Paris and Abu Dhabi.

This role combines research in AI for structural biology with the application of our models to real-world scientific challenges. The successful candidate will contribute to model development, lead computational discovery efforts in collaboration with external partners, and help translate research advances into impactful outcomes. Depending on business needs, time may be split between partner-facing scientific projects and internal research initiatives.

Job Requirements

  • PhD (or evidence of equivalent level of expertise) in Computer Science, Artificial Intelligence, Computational Biology,  or a related technical field.

  • Proven track record in research and innovation demonstrated through contributions in top-tier AI/ML (e.g., NeurIPS, ICML, CVPR, ECCV, ICCV, ICLR) and/or core biology (e.g., Nature, Science, or Cell) journals and conferences.

  • Experience in translating machine learning research into real-world scientific impact through collaborations with academic, biotechnology, or pharmaceutical partners.

  • Experience designing, executing, or supporting computational discovery campaigns in protein engineering, antibody discovery, binder design, or related therapeutic discovery efforts.

  • Experience working closely with experimental scientists and using experimental results to guide decisions.

  • Prior experience working on AI for structural biology or drug discovery in either an academic or industry setting.

  • Motivated and self-driven with the ability to operate with partial and incomplete descriptions of high-level objectives (as is typical in a start-up environment).

  • Evidence of familiarity and utilization of software engineering best practices (version controlling, documentation, etc), and open-source contributions, especially if used by others.

Preferred Qualifications

  • 3+ years of post-PhD experience in an industry or postdoc role

  • Prior experience working at either a start-up or top research industry labs (e.g., OpenAI, FAIR, Deepmind, Google Research).

  • Experience in biological structure prediction algorithms such as Alphafold2 & 3, RosettaFold. 

  • Experience in generative modeling for biological structures and sequences

  • Experience leading scientific collaborations or serving as a technical point of contact for external research partners.

  • Deep knowledge of diffusion models, flow matching, and protein sequence models

Join us as we embark on this journey to redefine the future of biology and medicine.
We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. GenBio AI participates in the U.S. Department of Homeland Security’s E-Verify program to confirm the employment eligibility of all newly hired employees. For more information on E-Verify, please visit www.e-verify.gov.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.